495./595. Topics in Modern Statistics (3)

Prerequisite: Consent of instructor.
Topics of current interest from statistics literature.
Letter grade only (A-F). Course may be repeated to a maximum of 6 units with different topics. (Lecture 3 hrs)

497. Directed Studies (1-3)

Prerequisite: Consent of instructor.
Junior or senior standing and consent of instructor. Not open to graduate students.
Letter grade only (A-F).

520. Statistical Inference (3)

Prerequisite: STAT 381 or consent of instructor.
Properties of a random sample, convergence in probability, law of large numbers, sampling from the normal distribution, the central limit theorem, principles of data reduction, likelihood principle, point estimation, Bayesian estimation, methods of evaluating estimators, hypothesis testing, decision theory, confidence intervals.
Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 580.

530. Experimental Design (3)

Prerequisite: STAT 381 or consent of instructor.
Design of experiments to permit efficient analysis of sources of variation with application to quality assurance. Factorial and fractional factorial designs; block designs; confounding. Fixed and random effect models. Effects of departure from assumptions; transformations. Response surface techniques. Taguchi methods.
Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 581.

532. Statistical Quality Control (3)

Prerequisite: STAT 381 or consent of instructor.
Introduction to methods of statistical quality control. Includes control charts, acceptance sampling, process capability analysis, and aspects of experimental design.
Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 584.

540. Survey Sampling (3)

Prerequisite: STAT 381 or consent of instructor.
Theory and practice of sampling from finite populations. Simple random sampling, stratified random sampling, systematic sampling, cluster sampling, properties of various estimators including ratio, regression, and difference estimators. Error estimation for complex samples.
Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 583.

560. Nonparametric Statistics (3)

Prerequisite: STAT 410, or 510, or consent of instructor.
Alternatives to normal-theory statistical methods, analysis of categorical and ordinal data, methods based on ranks, measures of association, goodness of fit tests, order statistics.
Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 585.

574. Data Mining (3)

Prerequisite: STAT 410, or 510, or consent of instructor.
Basics of data mining algorithms with emphasis on industrial applications. Prediction and classification techniques such as decision trees, neural networks, Multivariate Adaptive Regression Splines, and other methods. Several software packages utilized. Letter grade only (A-F). (Lecture 3 hrs.) Not open for credit to students with credit in MATH 586.

595./495. Topics in Modern Statistics (3)

Prerequisite: Consent of instructor.
Topics of current interest from statistics literature.
Letter grade only (A-F). Course may be repeated to a maximum of 6 units with different topics. (Lecture 3 hrs)

695. Seminar in Applied Statistics (3)

Prerequisite: Consent of instructor.
Presentation and discussion of advanced work in applied statistics.
May be repeated to a maximum of six units. Letter grade only (A-F).

697. Directed Studies in Applied Statistics (1-3)

Prerequisite: Consent of instructor.
Research on a specific area in applied statistics. Topic for study to be approved and directed by a statistics faculty member.
Letter grade only (A-F).

698. Thesis or Project (1-6)

Prerequisite: Advancement to candidacy.
Formal report of research or project in mathematics.
Letter grade only (A-F). May be repeated to a maximum of 6 units.